Automated Intelligent Surveillance using Human Behavior Analysis in Shopping Malls
نویسنده
چکیده
Our paper aims to develop a completely automated, multiple camera surveillance and intelligent monitoring system that detect theft in the shopping mall using human behavior analysis that finds the activity of persons who have mischief intentions. These systems generate warnings if they detect a suspicious person or unusual activity before the actual activity takes place. It also generates alert for such events and sends message of observed activities through Wi-Fi to a human operator for immediate action and response decision.
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